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Abstract #0182

Quantitative Parameter Mapping of Prostate using Stack-of-Stars and QTI Encoding

Rolf F Schulte1, Carolin M Pirkl1, Pablo Garcia-Polo2, Matteo Cencini3,4, Michela Tosetti3,4, Luis Marti-Bonmati5, and Marion I Menzel1,6
1GE Healthcare, Munich, Germany, 2GE Healthcare, Madrid, Spain, 3IRCCS Stella Maris, Pisa, Italy, 4IMAGO7 Foundation, Pisa, Italy, 5Hospital Universitario y Polit├ęcnico La Fe, Valencia, Spain, 6Technische Hochschule Ingolstadt, Ingolstadt, Germany


Quantitative MRI offers diagnostic insights into tissue and enables characterisation of diseases, while reducing variability between operators, sites and vendors. A stack-of-stars sequence using Quantitative Transient State Imaging (QTI) was optimised and implemented to map T1, T2 and Proton Density in human prostates. Resulting in vivo multi-parametric maps were of high quality, while validation in the NIST phantom show good agreement with T1 and T2 reference values.

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